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Field
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purpose of this position is to conduct research in the field of model reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust
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plant and animal sciences, microbiology, biotechnology, agriculture and food systems, landscape architecture, food and nutritional sciences, ecology and evolution, marine science and oceanography
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potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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responsible for the end-to-end execution of the systematic review, including: Designing and registering the review protocol (e.g., PROSPERO) Developing and executing search strategies (e.g., PubMed, PsycINFO
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Phenomenology. Members of the group with interest in this area include Professor Ben Allanach and Professor Maria Ubiali. Duties will include developing and conducting individual and collaborative research
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Postdoctoral Fellowship positions scholars to work with a Cornell faculty mentor and an external partner organization. Each Fellow receives individualized and cohort-level support in professional development
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applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc
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can PI proposals as well as participate in collaborative proposals) who will conduct independent and collaborative research and develop collaborations with faculty, staff, and students. You will have
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broader university. Synergistic professional development opportunities may include co-mentorship of research students in the lab and co-development of grant proposals. Along with mentored research
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research projects focused on in vivo metabolic tracing in mouse models. Perform metabolomic analyses to investigate metabolic pathways relevant to cardiac health. Engage in scientific communication, train